System, method, and media for identifying top attributes

ABSTRACT

In various example embodiments, a system and method for identifying top attributes are presented. Text content from an electronic document describing a product is extracted. A plurality of attributes associated with the product are identified using the extracted text content. A descriptor word proximate to each of the plurality of attributes in the extracted text content is detected. A weight is assigned to each descriptor word proximate to each of the plurality of attributes. The plurality of attributes are ranked based on the weight of the descriptor word proximate to each of the plurality of attributes. A predetermined number of top ranked attributes from the plurality of attributes are caused to be presented. Further, an image associated with each of the top ranked attributes is determined, the image being designated as a visual representation of the corresponding top ranked attribute. The image is caused to be displayed in association with the product on a user interface.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No.14/985,906, filed on Dec. 31, 2015, and entitled “User Interface forIdentifying Top Attributes,” which is hereby incorporated by referencein its entirety.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally to generating andpresenting user interface that identify top attributes.

BACKGROUND

There is a plethora of information surrounding content and items,including description, reviews by customers, reviews by experts, reviewsby other third parties, and the like. Further, technologically advanceditems have many attributes, incorporating features that highlight thecapabilities of the item. Often, these attributes distinguish one itemfrom others that are available. As technology advances, the attributesassociated with these content and items become increasingly importantfor conveying specific capabilities, information, and use of aparticular content or item.

BRIEF DESCRIPTION OF THE DRAWINGS

Various ones of the appended drawings merely illustrate exampleembodiments of the present disclosure and should not be considered aslimiting its scope.

FIG. 1 is a block diagram illustrating a networked system, according tosome example embodiments.

FIG. 2 is a block diagram illustrating an example embodiment of afiltering system, according to some example embodiments.

FIG. 3 is a diagram illustrating an example method for extractingdescriptor words associated with product attributes, according to someexample embodiments.

FIG. 4 depicts an example user interface for interactively presentingsuperimposed images, according to some example embodiments.

FIG. 5 depicts an example user interface for interactively presentingother products having the selected top attributes, according to someexample embodiments.

FIG. 6 is a flow diagram illustrating an example method for determiningtop attributes of a product, according to some example embodiments.

FIG. 7 is a flow diagram illustrating an example method for determiningimages associated with the top ranked attributes, according to someexample embodiments.

FIG. 8 is a block diagram illustrating an example of a softwarearchitecture that may be installed on a machine, according to someexample embodiments.

FIG. 9 illustrates a diagrammatic representation of a machine in theform of a computer system within which a set of instructions may beexecuted for causing the machine to perform any one or more of themethodologies discussed herein, according to an example embodiment.

The headings provided herein are merely for convenience and do notnecessarily affect the scope or meaning of the terms used.

DETAILED DESCRIPTION

The description that follows includes systems, methods, techniques,instruction sequences, and computing machine program products thatembody illustrative embodiments of the disclosure. In the followingdescription, for the purposes of explanation, numerous specific detailsare set forth in order to provide an understanding of variousembodiments of the inventive subject matter. It will be evident,however, to those skilled in the art, that embodiments of the inventivesubject matter may be practiced without these specific details. Ingeneral, well-known instruction instances, protocols, structures, andtechniques are not necessarily shown in detail.

In various embodiments, systems and methods for identifying andpresenting top attributes of a product based on detected productdescription and user comments are described. A product may contain aplethora of attributes, where some attributes are main highlights of theproduct based on the attributes having received more accolades andpositive reviews than other attributes of the same product. Theseattributes are referred to as top attributes of a product. A filteringsystem provides functionality to determine the top attributes by, forexample, extracting attributes associated with a product from a webpage,assigning a weight to each extracted attribute, and ranking theattributes based on the assigned weight.

Each top attribute has a corresponding image that is designated torepresent the attribute. In some embodiments, the filtering systemcauses the images to be superimposed over an image of the product or adescription of the product. These images allow for visual identificationof the top attributes of the product from among a plethora of attributesthat describe the product's capabilities. In some embodiments, a userinterface allows for selection of one or more of the presentedsuperimposed images representing the attributes, where selection of thesuperimposed images represents a selection of the corresponding topattribute. Selection of the superimposed images cause presentation of auser interface having information on other products that similarlypossess the selected attributes as top attributes. As discussedthroughout the specification, the term “items” can be in the form ofproducts, publications, or other content.

With reference to FIG. 1, an example embodiment of a high-levelclient-server-based network architecture 100 is shown. A networkedsystem 102 provides server-side functionality via a network 104 (e.g.,the Internet or wide area network (WAN)) to a client device 110. In someimplementations, a user (e.g., user 106) interacts with the networkedsystem 102 using the client device 110. FIG. 1 illustrates, for example,a web client 112 (e.g., a browser, such as the Internet Explorer'browser developed by Microsoft' Corporation of Redmond, Wash. State),client application(s) 114, and a programmatic client 116 executing onthe client device 110. The client device 110 includes the web client112, the client application(s) 114, and the programmatic client 116alone, together, or in any suitable combination. Although FIG. 1 showsone client device 110, in other implementations, the networkarchitecture 100 comprises multiple client devices.

In various implementations, the client device 110 comprises a computingdevice that includes at least a display and communication capabilitiesthat provide access to the networked system 102 via the network 104. Theclient device 110 comprises, but is not limited to, a remote device,work station, computer, general purpose computer, Internet appliance,hand-held device, wireless device, portable device, wearable computer,cellular or mobile phone, Personal Digital Assistant (PDA), smart phone,tablet, ultrabook, netbook, laptop, desktop, multiprocessor system,microprocessor-based or programmable consumer electronic, game consoles,set-top box, network Personal Computer (PC), mini-computer, and soforth. In an example embodiment, the client device 110 comprises one ormore of a touch screen, accelerometer, gyroscope, biometric sensor,camera, microphone, Global Positioning System (GPS) device, and thelike.

The client device 110 communicates with the network 104 via a wired orwireless connection. For example, one or more portions of the network104 comprises an ad hoc network, an intranet, an extranet, a VirtualPrivate Network (VPN), a Local Area Network (LAN), a wireless LAN(WLAN), a Wide Area Network (WAN), a wireless WAN (WWAN), a MetropolitanArea Network (MAN), a portion of the Internet, a portion of the PublicSwitched Telephone Network (PSTN), a cellular telephone network, awireless network, a Wireless Fidelity (Wi-Fi®) network, a WorldwideInteroperability for Microwave Access (WiMax) network, another type ofnetwork, or any suitable combination thereof.

In some example embodiments, the client device 110 includes one or moreof the applications (also referred to as “apps”) such as, but notlimited to, web browsers, book reader apps (operable to read e-books),media apps (operable to present various media forms including audio andvideo), fitness apps, biometric monitoring apps, messaging apps,electronic mail (email) apps, and e-commerce site apps (also referred toas “marketplace apps”). In some implementations, the clientapplication(s) 114 include various components operable to presentinformation to the user and communicate with networked system 102. Insome embodiments, if the e-commerce site application is included in theclient device 110, then this application is configured to locallyprovide the user interface and at least some of the functionalities withthe application configured to communicate with the networked system 102,on an as needed basis, for data or processing capabilities not locallyavailable (e.g., access to a database of items available for sale, toauthenticate a user, to verify a method of payment). Conversely, if thee-commerce site application is not included in the client device 110,the client device 110 can use its web browser to access the e-commercesite (or a variant thereof) hosted on the networked system 102.

In various embodiments, the user (e.g., the user 106) comprises aperson, a machine, or other means of interacting with the client device110. In some example embodiments, the user is not be part of the networkarchitecture 100, but interacts with the network architecture 100 viathe client device 110 or another means. For instance, the user providesinput (e.g., touch screen input or alphanumeric input) to the clientdevice 110 and the input is communicated to the networked system 102 viathe network 104. In this instance, the networked system 102, in responseto receiving the input from the user, communicates information to theclient device 110 via the network 104 to be presented to the user. Inthis way, the user can interact with the networked system 102 using theclient device 110.

The web client 112 accesses the various systems of the networked system102 (e.g., the publication system(s) 142) via the web interfacesupported by the web server 122. Similarly, the programmatic client 116and client application(s) 114 accesses the various services andfunctions provided by the networked system 102 via the programmaticinterface provided by the API server 120. The programmatic client 116can, for example, be a seller application (e.g., the Turbo Listerapplication developed by eBay® Inc., of San Jose, Calif.) to enablesellers to author and manage listings on the networked system 102 in anoff-line manner, and to perform batch-mode communications between theprogrammatic client 116 and the networked system 102.

An Application Program Interface (API) server 120 and a web server 122is coupled to, and provide programmatic and web interfaces respectivelyto, one or more application server(s) 140. The application server(s) 140hosts one or more publication system(s) 142, payment system(s) 144, anda filtering system 150, each of which comprises one or more modules orapplications and each of which can be embodied as hardware, software,firmware, or any combination thereof. The application server(s) 140 are,in turn, shown to be coupled to one or more database server(s) 124 thatfacilitate access to one or more information storage repositories ordatabase(s) 126. In an example embodiment, the database(s) 126 arestorage devices that store information to be posted (e.g., publicationsor listings) to the publication system(s) 142. The database(s) 126 alsostores digital good information in accordance with some exampleembodiments.

Additionally, a third party application 132, executing on third partyserver(s) 130, is shown as having programmatic access to the networkedsystem 102 via the programmatic interface provided by the API server120. For example, the third party application 132, utilizing informationretrieved from the networked system 102, supports one or more featuresor functions on a website hosted by the third party. The third partywebsite, for example, provides one or more promotional, marketplace, orpayment functions that are supported by the relevant applications of thenetworked system 102.

The publication system(s) 142 provides a number of publication functionsand services to the users that access the networked system 102. Thepayment system(s) 144 likewise provides a number of functions to performor facilitate payments and transactions. While the publication system(s)142 and payment system(s) 144 are shown in FIG. 1 to both form part ofthe networked system 102, it will be appreciated that, in alternativeembodiments, each system 142 and 144 may form part of a payment servicethat is separate and distinct from the networked system 102. In someexample embodiments, the payment system(s) 144 may form part of thepublication system(s) 142.

In some implementations, the filtering system 150 provides functionalityto determine top attributes associated with a product. The operations todetermine top attributes include extracting attributes associated with aproduct from a webpage, assigning a weight to each extracted attribute,and ranking the attributes based on the assigned weight. In someembodiments, the filtering system 150 causes images to be superimposedover the product image or product description, the images representingthe top attributes associated with the products. The images presentedallow for visual identification of the top attributes of the productfrom among a plethora of attributes that describe the product'scapabilities. These images, superimposed over the webpage content, cancompletely cover or partially cover the sections of the product image orproduct description. In other embodiments, the superimposed images donot cover the product image or product description. In yet furtherembodiments, a user interface allows for the selection of one or more ofthe presented superimposed images, where each of the superimposed imagesare associated with respective attributes. The selection of thesuperimposed images causes further presentation of a user interfacedisplaying other products that similarly possess the selected attributesas top attributes. In example embodiments, the filtering system 150communicates with the client device 110, the third party server(s) 130,the publication system(s) 142 (e.g., retrieving listings), and thepayment system(s) 144 (e.g., purchasing an item in a listing). In oneembodiment, the filtering system 150 is a part of the publicationsystem(s) 142. The filtering system 150 will be discussed further inconnection with FIG. 2 below.

Further, while the network architecture 100 shown in FIG. 1 employs aclient-server architecture, the present inventive subject matter is, ofcourse, not limited to such an architecture, and can equally well findapplication in a distributed, or peer-to-peer, architecture system, forexample. The various systems of the applications server(s) 140 (e.g.,the publication system(s) 142 and the payment system(s) 144) can also beimplemented as standalone software programs, which do not necessarilyhave networking capabilities.

FIG. 2 is a block diagram of the filtering system 150 that providesfunctionality to determine top attributes associated with a product,according to example embodiments. In some embodiments, the filteringsystem 150 provides further functionality to determine an imageassociate with each of the top ranked attributes and causes the image tobe displayed in association with the product on a user interface. Thedisplayed image can be superimposed over a product image, superimposedover a product description, or displayed alongside the product image andthe product description on the user interface. In one embodiment, thefiltering system 150 includes a presentation module 210, a communicationmodule 220, data module 230, extraction module 240, ranking module 250,and overlay module 260. All, or some, of the modules 210-260 of FIG. 2,communicate with each other, for example, via a network coupling, sharedmemory, bus, and the like. It will be appreciated that each module ofmodules 210-260 can be implemented as a single module, combined intoother modules, or further subdivided into multiple modules. Othermodules not pertinent to example embodiments can also be included in thefiltering system 150, but are not shown.

In some implementations, the presentation module 210 provides variouspresentation and user interface functionality operable to interactivelypresent and receive information from the user. For instance, thepresentation module 210 causes presentation of top ranked attributes inassociation with a product on a user interface displayed on the clientdevice. Further, the presentation module 210 causes images associatedwith the top ranked attributes to be displayed on the user interface.The displayed image can be superimposed over a product image,superimposed over a product description, or displayed alongside theproduct image and the product description. The presentation ofsuperimposed images is further discussed in detail below in associationwith FIG. 4. Moreover, in response to a selection of one or moreattributes (e.g., via the superimposed images), the presentation module210 causes presentation of a new or revised user interface displayinginformation on other products that also include the selected attributesto be top attributes. The presentation of information on other productsallows for comparison of products that include the selected topattribute(s). The presentation of other products that include similarlytop attributes is further discussed in detail below in association withFIG. 5.

In various implementations, the presentation module 210 presents orcauses presentation of information (e.g., visually displayinginformation on a screen, acoustic output, haptic feedback).Interactively presenting information is intended to include the exchangeof information between a particular device and the user. The user mayprovide input to interact with the user interface in many possiblemanners such as alphanumeric, point based (e.g., cursor), tactile, orother input (e.g., touch screen, tactile sensor, light sensor, infraredsensor, biometric sensor, microphone, gyroscope, accelerometer, or othersensors), and the like. It will be appreciated that the presentationmodule 210 provides many other user interfaces to facilitatefunctionality described herein. Further, it will be appreciated that“presenting” as used herein is intended to include communicatinginformation or instructions to a particular device that is operable toperform presentation based on the communicated information orinstructions.

The communication module 220 provides various communicationsfunctionality and web services. For example, the communication module220 provides network communication such as communicating with thenetworked system 102, the client device 110, and the third partyserver(s) 130. In various embodiments, the network communication canoperate over wired or wireless modalities. Web services are intended toinclude retrieving information from the third party server(s) 130, thedatabase(s) 126, and the application server(s) 140. In someimplementations, information retrieved by the communication module 220comprises data associated with the user (e.g., user profile informationfrom an online account, social network service data associated with theuser), data associated with one or more items or products listed on thepublication system 142 (e.g., images of the item, reviews of the item,item price), or other data to facilitate the functionality describedherein. In this way, the communication module 220 facilitatescommunication between the filtering system 150, the client device 110,and the third party server(s) 130 via the network 104.

The data module 230 is configured to provide functionality to access andupdate product information via database servers 124 in the database 126.The data module 230 accesses product data associated with availableproducts for use by the extractor module 240. In an embodiment, thedatabase 126 stores attribute information related to certain products,the products being stored in product categories. For example, theproduct is a camera and attributes related to the camera can be anyattributes that make up a camera, such as lens quality, battery life,image quality, video quality, value, ergonomic quality, build quality,aesthetic sense, and the like. These attributes (e.g., primaryattributes) can also include secondary attributes that are directlyrelated to the primary attributes. For example, secondary attributes ofthe primary attribute “lens quality” can include zoom, auto focustechnology, and the like.

Further, each attribute within the database 126 has an associated imagethat visually depicts the attribute. These images associated with itsrespective attribute can be in the form of an internationally recognizedsymbol used to designate the respective attribute or a custom madesymbol. Images associated with its respective attribute is furtherdiscussed in detail below in association with FIG. 4. Each category canalso have subcategories. In this specific camera category, for example,subcategories can be digital single-lens reflex (DSLR) camera,waterproof camera, video camera, security camera, and the like.

In some embodiments, the data module 230 stores a predetermined valueassociated with descriptors words that are used to describe certainattributes belonging to a product in the database 126. The predeterminevalue reflects a weight of the descriptor words when referring to theattribute. For example, a product review for a camera product can be,“best lens compared to its peers.” The descriptor word “best” isdescribing the attribute “lens.” Descriptor words can be in the form ofpositive words, neutral words, negative words, adjectives, adverbs,urban slang, and the like. Positive descriptor words include, but notlimited to, superior, excellent, amazing, awesome, great, and the like.Negative descriptor words can include, but not limited to,disappointing, low quality, poor, bad, and the like. Urban slangdescriptor words reflect words commonly used in a community but notofficially recognized within any dictionary. The extraction module 240provides functionality to identify and extract attributes of one or moreproducts from any electronic document (e.g., a webpage). Theseattributes are identified by identifying a match between attributes fromthe electronic document and a set of attributes stored within thedatabase 126 for the particular product category. The match betweenattributes need not be an exact match. For example, the attributes“lens” and “telephoto lens” identified in an electronic document canconstitute as a match for the lens quality attribute within the database126. The extraction module 240 may determine, from a database, acategory of the product by extracting the attribute “lens” and matchingthe “lens” attribute with an attribute within the database. The “lens”attribute within the database is associated with a category andsubcategory comprising other similar attributes. For example, theattribute “lens” is associated with a camera category, and the cameracategory comprises further attributes such as “telephoto lens.” Theextraction module 240 further identifies attributes in the extractedtext content that match a set of attributes stored in the database fromthe category of the product.

In some embodiments, the extraction module 240 provides furtherfunctionality to identify and extract descriptor words describing one ormore attributes of the product within the electronic document. Thedescriptor words are identified by identifying a match between thedescriptor words in the electronic document and descriptor words storedwithin the database 126. The descriptor words are associated with theattributes that it describes and can occur immediately before theattribute or after.

In an example, for the description “awesome battery life,” theextraction module 240 identifies the attribute “battery life” byidentifying a match between the word “battery life” within theelectronic document and the attribute “battery life” stored within thedatabase 126. The descriptor words are then identified from wordsimmediately before or after the attribute. In this example, thedescriptor word is identified as “awesome” and occurs immediately beforethe attribute “battery life.” In some embodiments, these descriptorwords do not have to occur immediately before or after the attribute,but rather proximate to (e.g., nearby but not necessarily adjacent to)the attribute. Further, the descriptor words can be in the form of anadjective, adverb, or any other form that describes the attribute. Theidentification and association of a descriptor word with thecorresponding attribute are further described in detail below inassociation with FIG. 3. In yet further embodiments, the attributes anddescriptor words are identified and extracted from more than oneelectronic document, such as from multiple electronic documents fromdifferent domains. These attributes and descriptor words are aggregatedand stored in the database 126 for use by the ranking module 250 andoverlay module 260.

The ranking module 250 provides functionality to assign a weight to eachdescriptor words and rank the attributes based on the assigned weight.Each descriptor word has an associated weight stored in the database126. In general, the more positive the descriptor word, the higher theassigned weight. The weight can be a numerical value, with a largervalue indicating a higher weight. For example, descriptor words andassigned weight value relationship can include, “superior” assigned aweight value 9, “best” assigned a weight value 8, “awesome” assigned aweight value 7, “excellent” assigned a weight value 7, “ok” assigned aweight value 6, “decent” assigned a weight value 5, “poor” assigned aweight value 4, “disappointing” assigned a weight value 3, “terrible”assigned a weight value 2, and so forth. In some embodiments, differentdescriptor words can be assigned the same weight value.

In some embodiments, the ranking module 250 determines descriptor wordoutliers within all the descriptor words used to describe an attribute.The descriptor words that are determined to be outliers are notconsidered by the ranking module in ranking the attributes. Outliers canbe determined by the ranking module 250 using z-score statisticalmeasurement of a relationship of a descriptor word to a mean in a groupof descriptor words describing the same attribute. A z-score measurementreflects how many standard deviations a descriptor word is away from themean. Using the z-score, the ranking module 250 can determine outliersby comparing the z-score to a predetermine threshold range, where anyz-scores above or below the threshold range indicate the associateddescriptor word is an outlier. In some embodiments, the outliers arefiltered and removed from further analysis. The outliers reflect noisein the accumulated data and may not accurately reflect the attribute.For example, in one hundred descriptor words describing the attribute ofbattery life of a camera, ninety-nine of the descriptor words arepositive, whereas one is extremely negative. The one extremely negativedescriptor word is determined to be an outlier, as it likely does notaccurately reflect the battery life attribute and therefore consideredas noise. In other embodiments, the outliers are determined usingadditional normal statistics, including mean, medium, and mode.

In further embodiments, the ranking module 250 calculates an averageweight value associated with each attribute. Within an electronicdocument, there may be multiple descriptor words for an attribute. Afterthe outliers are filtered, the remaining weighted values with acorresponding attribute is averaged and a single average weighed valueis associated with an attribute. In some embodiments, the weighted valueassociated with the secondary attribute is counted as part of theprimary words. For example, the descriptor word associated withsecondary attribute “great zoom” and “excellent autofocus technology”counts towards the average weight value of the primary attribute “lensquality.” Based on the average weight value, the ranking module 250ranks the attributes based on the corresponding average weight value.

The overlay module 260 provides functionality to determine the imagesassociated with each of a predetermined number of top ranked attributes.The top ranked attributes are the ones with top largest average weightvalue. In other words, the top ranked attributes reflects highlightfeatures that stand out for the specific product as described by theproduct described and reviewed by other users. The top-n rankedattributes is the top predetermined number of attributes (e.g., a top 3or any other number).

For each top ranked attribute, there is a corresponding imageretrievable from the database 126 for inclusion in the user interface.As discussed above, the image can be an icon that is in the form of auniversally recognized symbol or a custom image associated with theattribute. The overlay module 260 in association with the presentationmodule 210, as fully detailed above, cause these images to besuperimposed over the content of a user interface. The content of theuser interface remains visible where the image has not beensuperimposed. As described above, the images can be superimposed overthe detailed description portion of the associated product, or over theimage of the product itself. In some embodiments, the images can besuperimposed over the location where the attribute is located andextracted from the electronic document. In other embodiments, the imagesare superimposed to a side of the electronic document and remainsdisplayed as the content of the electronic document is scrolled todifferent pages. In other embodiments, the location of the top rankedattributes associated with the images are flagged and highlighted tofurther distinguish the top ranked attributes from other textualcontent.

FIG. 3 is a diagram illustrating an example method for identifying andextracting descriptor words describing an attribute of a product withinan electronic document (e.g., a webpage). The attributes within thewebpage are identified by the extraction module 240 performing a searchfor a match between words on the webpage and the set of attributeswithin the database 126. For example, the attribute 310 is identified as“video quality” by a match of the attribute 310 on the web page with anattribute “video quality” within the database 126. The match betweenattributes need not be an exact match. For example, an attribute 320“rechargeable batteries” can be considered a match to the attribute“battery life” within the database 126. Such a match is identified evenwhere the terms are not identical and may be determined using a synonymlist from the database 126. Further attributes may be identified andextracted within FIG. 3, but not currently described, such as lensquality, accessories, etc.

The extraction module 240 also identifies descriptor words 330 and 340,by identifying a description occurring proximate to the identifiedattribute 320 and 310. Descriptor words can occur immediately before (orproximately before) the attribute such as descriptor word 330. Thedescriptor word 330 “long lasting” describes the attribute 320“rechargeable batteries.” The descriptor words can also occur proximateand after the occurring attribute. For example, the descriptor word 350“disappointing” describes the attribute 360 “lens.” Descriptor words andcorresponding attribute are identified as a corresponding pair based onits location within a single clause or phrase. Further descriptor wordsmay be identified and extracted within FIG. 3, but not currentlydescribed, such as superior, best, great, excellent, awesome, etc.Further details were fully described above in association with FIG. 2.

In some embodiments, each extracted descriptor word is assigned aweight. The assigned weight is determined from the database 126. Theassigned weight can be a numerical value, where a higher weight valuereflects a more positive descriptor word. In some embodiments, differentdescriptor words can be assigned the same weight value. In an example,descriptor word 365 (“superior”) is assigned a weight value 8,descriptor word 367 (“best”) is assigned a weight value 7, descriptorword 369 (“excellent”) is assigned a weight value 6, descriptor word 371(“awesome”) is assigned a weight value 6, descriptor word 340(“amazing”) is assigned a weight value 5, descriptor word 377 (“great”)is assigned a weight value 4, descriptor word 373 (“long lasting”) isassigned a weight value 3, descriptor word 379 (“low quality”) isassigned a weight value 2, descriptor word 350 (“disappointing”) isassigned a weight value 1, and so forth. In other embodiments, theweight may be a coefficient or any other type of weighting value.

In example embodiments, the ranking module 250 calculates an averageweight value associated with each attribute. For example, the “videoquality” attribute 310 has several associated descriptor words,including descriptor words 340, descriptor word 369 (“excellent”), anddescriptor word 377 (“great”) with an assigned weight value of 5, 6, and4 respectively. The average weight for each attribute is determined bytaking the average of all the weight values associated with the sameattribute. In this example, the average weight for the attribute 310“video quality” is 7.5 (the average of weight values 5, 6, and 4).Further details of the weight assignment were fully described above inassociation with the ranking module 250 in FIG. 2.

FIGS. 4-5 depict example user interfaces for interactively presentinginformation to the user. Although FIGS. 4-5 depict specific example userinterfaces and user interface elements, these are merely non-limitingexamples and many other alternate user interfaces and user interfaceelements can be generated by the presentation module 210 and presentedto the user. It will be noted that alternate presentations of thedisplays of FIGS. 4-5 may include additional information, graphics,options, and so forth; other presentations include less information, orprovide abridged information for easy use by the user.

FIG. 4 is a diagram illustrating an example user interface 400 forinteractively presenting an image associated with each of the top rankedattribute. Based on the calculated average weight value for eachattribute, the ranking module 250 ranks the attributes based on thecorresponding average weight value, where the higher the average weightvalue, the higher the associated attribute is ranked. Continuing fromthe example shown in FIG. 3, the top three attributes are determined tobe attribute “lens quality”, attribute “battery life”, and attribute“video quality.”

The overlay module 260 determines an image associated with each of thetop ranked attributes. Although this example shows the top threeattributes, it is understood that the top ranked attributes can be anypredetermined number. The overlay module 260 accesses the database 126to identify the image associated with each of the top three attributes.In this example, image 410 (representing “lens quality”), image 420(representing “battery life”), and image 430 (representing videoquality) are identified to be the images associated with each of the topthree attributes. The images are caused to be presented on the userinterface displaying the web page. Optionally, along with each image isa textual description presented to describe the image such as textualdescription 367 to describe the image 410.

In some embodiments, the image 410, 420, and 430 are superimposed overthe product description 440. The images can be transparent thus allowingthe product description 440 to be seen through the images. In otherembodiments, the image 410, 420, and 430 are superimposed over theproduct image 450. In other embodiments, the images are superimposed toa side of the user interface and remains displayed as the content of theuser interface is scrolled to different pages. In some embodiments, anycontent on the user interface can be seen through the superimposedimages.

In some embodiments, the overlay module 260 presents selectable elements460, 470, and 480, where selection of the selectable elements results ina selection of the associated top ranked attribute. The selection ofselectable element 460 is a selection of the top attribute “lensquality,” and the selection of selectable element 470 is a selection ofthe top attribute “battery life.” A selection of the selectable elements460 and 470 results in a search for other products that includes theselected attributes “lens quality” and “battery life” as top attributesfor those products. For example, as shown in FIG. 5, the search resultsshow other cameras with top attributes of lens quality and battery life,including camera 520, 530, and 540. In some embodiments, the productdescription shown for each product is truncated to show the commentsassociated with the top attributes. The user can further choose to viewthe full comments.

FIG. 6 is a flow diagram illustrating an example method 600 fordetermining the top ranked attributes for a product. At operation 610,the extraction module 240 extracts text content from a web pagedescribing a product.

At operation 620, using the extracted text content, the extractionmodule 240 identifies a plurality of attributes associated with theproduct. The attributes are identified by performing a search for amatch between the extracted text content from the webpage and the set ofattributes within a database.

At operation 630, the extraction module 240 detects a descriptor wordproximate to each of the plurality of attributes in the extracted textcontent. The descriptor words are associated with the attributes that inwhich it describes and can occur immediately before the attribute,immediately after the attribute, or located nearby the attribute. Thesedescriptor words can be in the form of an adjective, adverb, or anyother form that describes the attribute.

At operation 640, the ranking module 250 assigns a weight to eachdescriptor word proximate to each of the plurality of attributes. Ingeneral, the more positive the descriptor word, the higher the assignedweight. The weight can be a numerical value, with a larger valueindicating a higher weight.

At operation 650, the ranking module 250 ranks the plurality ofattributes based on the weight of the descriptor word proximate to eachof the plurality of attributes.

At operation 660, the presentation module 210 causes presentation of apredetermined number of top ranked attributes from the plurality ofattributes in a user interface.

FIG. 7 is a flow diagram illustrating an example method 700 forpresenting images associated with each of the top ranked attributes. Atoperation 710, the overlay module 260 determines an image associatedwith each of the top ranked attributes. The image can be an icon that isin the form of a universally recognized symbol or a custom imagedesignated to the attribute as fully described in detail in associationwith FIG. 5.

At operation 720, the presentation module 210 causes the images to bedisplayed in associated with the product on the user interface. Thedisplay can superimposed the images over the content of the userinterface, such as over the image of the product, the description of theproduct, or to the side of the webpage, along an axis as fully describedin detail in association with FIG. 5.

Modules, Components, and Logic

Certain embodiments are described herein as including logic or a numberof components, modules, or mechanisms. Modules may constitute eithersoftware modules (e.g., code embodied on a machine-readable medium or ina transmission signal) or hardware modules. A “hardware module” is atangible unit capable of performing certain operations and may beconfigured or arranged in a certain physical manner. In various exampleembodiments, one or more computer systems (e.g., a standalone computersystem, a client computer system, or a server computer system) or one ormore hardware modules of a computer system (e.g., a processor or a groupof processors) may be configured by software (e.g., an application orapplication portion) as a hardware module that operates to performcertain operations as described herein.

In some embodiments, a hardware module may be implemented mechanically,electronically, or any suitable combination thereof For example, ahardware module may include dedicated circuitry or logic that ispermanently configured to perform certain operations. For example, ahardware module may be a special-purpose processor, such as aField-Programmable Gate Array (FPGA) or an Application SpecificIntegrated Circuit (ASIC). A hardware module may also includeprogrammable logic or circuitry that is temporarily configured bysoftware to perform certain operations. For example, a hardware modulemay include software encompassed within a general-purpose processor orother programmable processor. It will be appreciated that the decisionto implement a hardware module mechanically, in dedicated andpermanently configured circuitry, or in temporarily configured circuitry(e.g., configured by software) may be driven by cost and timeconsiderations.

Accordingly, the phrase “hardware module” should be understood toencompass a tangible entity, be that an entity that is physicallyconstructed, permanently configured (e.g., hardwired), or temporarilyconfigured (e.g., programmed) to operate in a certain manner or toperform certain operations described herein. As used herein,“hardware-implemented module” refers to a hardware module. Consideringembodiments in which hardware modules are temporarily configured (e.g.,programmed), each of the hardware modules need not be configured orinstantiated at any one instance in time. For example, where a hardwaremodule comprises a general-purpose processor configured by software tobecome a special-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware modules) at different times. Software mayaccordingly configure a particular processor or processors, for example,to constitute a particular hardware module at one instance of time andto constitute a different hardware module at a different instance oftime.

Hardware modules can provide information to, and receive informationfrom, other hardware modules. Accordingly, the described hardwaremodules may be regarded as being communicatively coupled. Where multiplehardware modules exist contemporaneously, communications may be achievedthrough signal transmission (e.g., over appropriate circuits and buses)between or among two or more of the hardware modules. In embodiments inwhich multiple hardware modules are configured or instantiated atdifferent times, communications between such hardware modules may beachieved, for example, through the storage and retrieval of informationin memory structures to which the multiple hardware modules have access.For example, one hardware module may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware module may then, at a latertime, access the memory device to retrieve and process the storedoutput. Hardware modules may also initiate communications with input oroutput devices, and can operate on a resource (e.g., a collection ofinformation).

The various operations of example methods described herein may beperformed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implemented modulesthat operate to perform one or more operations or functions describedherein. As used herein, “processor-implemented module” refers to ahardware module implemented using one or more processors.

Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors orprocessor-implemented modules. Moreover, the one or more processors mayalso operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an Application ProgramInterface (API)).

The performance of certain of the operations may be distributed amongthe processors, not only residing within a single machine, but deployedacross a number of machines. In some example embodiments, the processorsor processor-implemented modules may be located in a single geographiclocation (e.g., within a home environment, an office environment, or aserver farm). In other example embodiments, the processors orprocessor-implemented modules may be distributed across a number ofgeographic locations.

Software Architecture

FIG. 8 is a block diagram 800 illustrating an architecture of software802, which may be installed on any one or more of the devices describedabove. FIG. 8 is merely a non-limiting example of a softwarearchitecture, and it will be appreciated that many other architecturesmay be implemented to facilitate the functionality described herein. Thesoftware 802 may be implemented by hardware such as machine 900 of FIG.9 that includes processors 910, memory 930, and I/O components 950. Inthis example architecture, the software 802 may be conceptualized as astack of layers where each layer may provide a particular functionality.For example, the software 802 includes layers such as an operatingsystem 804, libraries 806, frameworks 808, and applications 810.Operationally, the applications 810 invoke application programminginterface (API) calls 812 through the software stack and receivemessages 814 in response to the API calls 812, according to someimplementations.

In various implementations, the operating system 804 manages hardwareresources and provides common services. The operating system 804includes, for example, a kernel 820, services 822, and drivers 824. Thekernel 820 acts as an abstraction layer between the hardware and theother software layers in some implementations. For example, the kernel820 provides memory management, processor management (e.g., scheduling),component management, networking, security settings, among otherfunctionality. The services 822 may provide other common services forthe other software layers. The drivers 824 may be responsible forcontrolling or interfacing with the underlying hardware. For instance,the drivers 824 may include display drivers, camera drivers, Bluetooth®drivers, flash memory drivers, serial communication drivers (e.g.,Universal Serial Bus (USB) drivers), Wi-Fig' drivers, audio drivers,power management drivers, and so forth.

In some implementations, the libraries 806 provide a low-level commoninfrastructure that may be utilized by the applications 810. Thelibraries 806 may include system 830 libraries (e.g., C standardlibrary) that may provide functions such as memory allocation functions,string manipulation functions, mathematic functions, and the like. Inaddition, the libraries 806 may include API libraries 832 such as medialibraries (e.g., libraries to support presentation and manipulation ofvarious media formats such as Moving Picture Experts Group-4 (MPEG4),Advanced Video Coding (H.264 or AVC), Moving Picture Experts GroupLayer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR)audio codec, Joint Photographic Experts Group (JPEG or JPG), PortableNetwork Graphics (PNG)), graphics libraries (e.g., an OpenGL frameworkused to render in two dimensions (2D) and three dimensions (3D) in agraphic content on a display), database libraries (e.g., SQLite toprovide various relational database functions), web libraries (e.g.,WebKit to provide web browsing functionality), and the like. Thelibraries 806 may also include a wide variety of other libraries 834 toprovide many other APIs to the applications 810.

The frameworks 808 provide a high-level common infrastructure that maybe utilized by the applications 810, according to some implementations.For example, the frameworks 808 provide various graphic user interface(GUI) functions, high-level resource management, high-level locationservices, and so forth. The frameworks 808 may provide a broad spectrumof other APIs that may be utilized by the applications 810, some ofwhich may be specific to a particular operating system or platform.

In an example embodiment, the applications 810 include a homeapplication 850, a contacts application 852, a browser application 854,a book reader application 856, a location application 858, a mediaapplication 860, a messaging application 862, a game application 864,and a broad assortment of other applications such as third partyapplication 866. According to some embodiments, the applications 810 areprograms that execute functions defined in the programs. Variousprogramming languages may be employed to create one or more of theapplications 810, structured in a variety of manners, such asobject-orientated programming languages (e.g., Objective-C, Java, orC++) or procedural programming languages (e.g., C or assembly language).In a specific example, the third party application 866 (e.g., anapplication developed using the Android™ or iOS™ software developmentkit (SDK) by an entity other than the vendor of the particular platform)may be mobile software running on a mobile operating system such asiOS™, Android™, Windows® Phone, or other mobile operating systems. Inthis example, the third party application 866 may invoke the API calls812 provided by the mobile operating system 804 to facilitatefunctionality described herein.

Example Machine Architecture and Machine-Readable Medium

FIG. 9 is a block diagram illustrating components of a machine 900,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.Specifically, FIG. 9 shows a diagrammatic representation of the machine900 in the example form of a computer system, within which instructions916 (e.g., software, a program, an application, an applet, an app, orother executable code) for causing the machine 900 to perform any one ormore of the methodologies discussed herein may be executed. Inalternative embodiments, the machine 900 operates as a standalone deviceor may be coupled (e.g., networked) to other machines. In a networkeddeployment, the machine 900 may operate in the capacity of a servermachine or a client machine in a server-client network environment, oras a peer machine in a peer-to-peer (or distributed) networkenvironment. The machine 900 may comprise, but not be limited to, aserver computer, a client computer, a personal computer (PC), a tabletcomputer, a laptop computer, a netbook, a set-top box (STB), a personaldigital assistant (PDA), an entertainment media system, a cellulartelephone, a smart phone, a mobile device, a wearable device (e.g., asmart watch), a smart home device (e.g., a smart appliance), other smartdevices, a web appliance, a network router, a network switch, a networkbridge, or any machine capable of executing the instructions 916,sequentially or otherwise, that specify actions to be taken by machine900. Further, while only a single machine 900 is illustrated, the term“machine” shall also be taken to include a collection of machines 900that individually or jointly execute the instructions 916 to perform anyone or more of the methodologies discussed herein.

The machine 900 may include processors 910, memory 930, and I/Ocomponents 950, which may be configured to communicate with each othervia a bus 902. In an example embodiment, the processors 910 (e.g., aCentral Processing Unit (CPU), a Reduced Instruction Set Computing(RISC) processor, a Complex Instruction Set Computing (CISC) processor,a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), anApplication Specific Integrated Circuit (ASIC), a Radio-FrequencyIntegrated Circuit (RFIC), another processor, or any suitablecombination thereof) may include, for example, processor 912 andprocessor 914 that may execute instructions 916. The term “processor” isintended to include multi-core processors that may comprise two or moreindependent processors (also referred to as “cores”) that may executeinstructions contemporaneously. Although FIG. 9 shows multipleprocessors, the machine 900 may include a single processor with a singlecore, a single processor with multiple cores (e.g., a multi-coreprocess), multiple processors with a single core, multiple processorswith multiples cores, or any combination thereof.

The memory 930 may include a main memory 932, a static memory 934, and astorage unit 936 accessible to the processors 910 via the bus 902. Thestorage unit 936 may include a machine-readable medium 938 on which isstored the instructions 916 embodying any one or more of themethodologies or functions described herein. The instructions 916 mayalso reside, completely or at least partially, within the main memory932, within the static memory 934, within at least one of the processors910 (e.g., within the processor's cache memory), or any suitablecombination thereof, during execution thereof by the machine 900.Accordingly, in various implementations, the main memory 932, staticmemory 934, and the processors 910 are considered as machine-readablemedia 938.

As used herein, the term “memory” refers to a machine-readable medium938 able to store data temporarily or permanently and may be taken toinclude, but not be limited to, random-access memory (RAM), read-onlymemory (ROM), buffer memory, flash memory, and cache memory. While themachine-readable medium 938 is shown in an example embodiment to be asingle medium, the term “machine-readable medium” should be taken toinclude a single medium or multiple media (e.g., a centralized ordistributed database, or associated caches and servers) able to storeinstructions 916. The term “machine-readable medium” shall also be takento include any medium, or combination of multiple media, that is capableof storing instructions (e.g., instructions 916) for execution by amachine (e.g., machine 900), such that the instructions, when executedby one or more processors of the machine 900 (e.g., processors 910),cause the machine 900 to perform any one or more of the methodologiesdescribed herein. Accordingly, a “machine-readable medium” refers to asingle storage apparatus or device, as well as “cloud-based” storagesystems or storage networks that include multiple storage apparatus ordevices. The term “machine-readable medium” shall accordingly be takento include, but not be limited to, one or more data repositories in theform of a solid-state memory (e.g., flash memory), an optical medium, amagnetic medium, other non-volatile memory (e.g., Erasable ProgrammableRead-Only Memory (EPROM)), or any suitable combination thereof. The term“machine-readable medium” specifically excludes non-statutory signalsper se.

The I/O components 950 include a wide variety of components to receiveinput, provide output, produce output, transmit information, exchangeinformation, capture measurements, and so on. In general, it will beappreciated that the I/O components 950 may include many othercomponents that are not shown in FIG. 9. The I/O components 950 aregrouped according to functionality merely for simplifying the followingdiscussion and the grouping is in no way limiting. In various exampleembodiments, the I/O components 950 include output components 952 andinput components 954. The output components 952 include visualcomponents (e.g., a display such as a plasma display panel (PDP), alight emitting diode (LED) display, a liquid crystal display (LCD), aprojector, or a cathode ray tube (CRT)), acoustic components (e.g.,speakers), haptic components (e.g., a vibratory motor), other signalgenerators, and so forth. The input components 954 include alphanumericinput components (e.g., a keyboard, a touch screen configured to receivealphanumeric input, a photo-optical keyboard, or other alphanumericinput components), point based input components (e.g., a mouse, atouchpad, a trackball, a joystick, a motion sensor, or other pointinginstrument), tactile input components (e.g., a physical button, a touchscreen that provides location and force of touches or touch gestures, orother tactile input components), audio input components (e.g., amicrophone), and the like.

In some further example embodiments, the I/O components 950 includebiometric components 956, motion components 958, environmentalcomponents 960, or position components 962 among a wide array of othercomponents. For example, the biometric components 956 include componentsto detect expressions (e.g., hand expressions, facial expressions, vocalexpressions, body gestures, or eye tracking), measure biosignals (e.g.,blood pressure, heart rate, body temperature, perspiration, or brainwaves), identify a person (e.g., voice identification, retinalidentification, facial identification, fingerprint identification, orelectroencephalogram based identification), and the like. The motioncomponents 958 include acceleration sensor components (e.g.,accelerometer), gravitation sensor components, rotation sensorcomponents (e.g., gyroscope), and so forth. The environmental components960 include, for example, illumination sensor components (e.g.,photometer), temperature sensor components (e.g., one or morethermometer that detect ambient temperature), humidity sensorcomponents, pressure sensor components (e.g., barometer), acousticsensor components (e.g., one or more microphones that detect backgroundnoise), proximity sensor components (e.g., infrared sensors that detectnearby objects), gas sensors (e.g., machine olfaction detection sensors,gas detection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment. The position components 962 includelocation sensor components (e.g., a Global Position System (GPS)receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 950 may include communication components 964 operableto couple the machine 900 to a network 980 or devices 970 via coupling982 and coupling 972, respectively. For example, the communicationcomponents 964 include a network interface component or another suitabledevice to interface with the network 980. In further examples,communication components 964 include wired communication components,wireless communication components, cellular communication components,Near Field Communication (NFC) components, Bluetooth® components (e.g.,Bluetooth® Low Energy), Wi-Fi® components, and other communicationcomponents to provide communication via other modalities. The devices970 may be another machine or any of a wide variety of peripheraldevices (e.g., a peripheral device coupled via a Universal Serial Bus(USB)).

Moreover, in some implementations, the communication components 964detect identifiers or include components operable to detect identifiers.For example, the communication components 964 include Radio FrequencyIdentification (RFID) tag reader components, NFC smart tag detectioncomponents, optical reader components (e.g., an optical sensor to detecta one-dimensional bar codes such as Universal Product Code (UPC) barcode, multi-dimensional bar codes such as Quick Response (QR) code,Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code,Uniform Commercial Code Reduced Space Symbology (UCC RSS)-2D bar code,and other optical codes), acoustic detection components (e.g.,microphones to identify tagged audio signals), or any suitablecombination thereof. In addition, a variety of information can bederived via the communication components 964, such as, location viaInternet Protocol (IP) geo-location, location via Wi-Fi® signaltriangulation, location via detecting a NFC beacon signal that mayindicate a particular location, and so forth.

Transmission Medium

In various example embodiments, one or more portions of the network 980may be an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), the Internet, a portion of the Internet, a portion of the PublicSwitched Telephone Network (PSTN), a plain old telephone service (POTS)network, a cellular telephone network, a wireless network, a Wi-Finetwork, another type of network, or a combination of two or more suchnetworks. For example, the network 980 or a portion of the network 980may include a wireless or cellular network and the coupling 982 may be aCode Division Multiple Access (CDMA) connection, a Global System forMobile communications (GSM) connection, or other type of cellular orwireless coupling. In this example, the coupling 982 may implement anyof a variety of types of data transfer technology, such as SingleCarrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized(EVDO) technology, General Packet Radio Service (GPRS) technology,Enhanced Data rates for GSM Evolution (EDGE) technology, thirdGeneration Partnership Project (3GPP) including 3G, fourth generationwireless (4G) networks, Universal Mobile Telecommunications System(UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability forMicrowave Access (WiMAX), Long Term Evolution (LTE) standard, othersdefined by various standard setting organizations, other long rangeprotocols, or other data transfer technology.

In example embodiments, the instructions 916 are transmitted or receivedover the network 980 using a transmission medium via a network interfacedevice (e.g., a network interface component included in thecommunication components 964) and utilizing any one of a number ofwell-known transfer protocols (e.g., Hypertext Transfer Protocol(HTTP)). Similarly, in other example embodiments, the instructions 916are transmitted or received using a transmission medium via the coupling972 (e.g., a peer-to-peer coupling) to devices 970. The term“transmission medium” shall be taken to include any intangible mediumthat is capable of storing, encoding, or carrying instructions 916 forexecution by the machine 900, and includes digital or analogcommunications signals or other intangible medium to facilitatecommunication of such software.

Furthermore, the machine-readable medium 938 is non-transitory (in otherwords, not having any transitory signals) in that it does not embody apropagating signal. However, labeling the machine-readable medium 938 as“non-transitory” should not be construed to mean that the medium isincapable of movement; the medium should be considered as beingtransportable from one physical location to another. Additionally, sincethe machine-readable medium 938 is tangible, the medium may beconsidered to be a machine-readable device.

Language

Throughout this specification, plural instances may implementcomponents, operations, or structures described as a single instance.Although individual operations of one or more methods are illustratedand described as separate operations, one or more of the individualoperations may be performed concurrently, and nothing requires that theoperations be performed in the order illustrated. Structures andfunctionality presented as separate components in example configurationsmay be implemented as a combined structure or component. Similarly,structures and functionality presented as a single component may beimplemented as separate components. These and other variations,modifications, additions, and improvements fall within the scope of thesubject matter herein.

Although an overview of the inventive subject matter has been describedwith reference to specific example embodiments, various modificationsand changes may be made to these embodiments without departing from thebroader scope of embodiments of the present disclosure. Such embodimentsof the inventive subject matter may be referred to herein, individuallyor collectively, by the term “invention” merely for convenience andwithout intending to voluntarily limit the scope of this application toany single disclosure or inventive concept if more than one is, in fact,disclosed.

The embodiments illustrated herein are described in sufficient detail toenable those skilled in the art to practice the teachings disclosed.Other embodiments may be used and derived therefrom, such thatstructural and logical substitutions and changes may be made withoutdeparting from the scope of this disclosure. The Detailed Description,therefore, is not to be taken in a limiting sense, and the scope ofvarious embodiments is defined only by the appended claims, along withthe full range of equivalents to which such claims are entitled.

As used herein, the term “or” may be construed in either an inclusive orexclusive sense. Moreover, plural instances may be provided forresources, operations, or structures described herein as a singleinstance. Additionally, boundaries between various resources,operations, modules, engines, and data stores are somewhat arbitrary,and particular operations are illustrated in a context of specificillustrative configurations. Other allocations of functionality areenvisioned and may fall within a scope of various embodiments of thepresent disclosure. In general, structures and functionality presentedas separate resources in the example configurations may be implementedas a combined structure or resource. Similarly, structures andfunctionality presented as a single resource may be implemented asseparate resources. These and other variations, modifications,additions, and improvements fall within a scope of embodiments of thepresent disclosure as represented by the appended claims. Thespecification and drawings are, accordingly, to be regarded in anillustrative rather than a restrictive sense.

What is claimed is:
 1. A system comprising: one or more processors; andcomputer-readable memory including instructions that when executed bythe one or more processors, cause the one or more processors to performoperations comprising: extracting text content from an electronicdocument describing a product; using the extracted text content,identifying a plurality of attributes associated with the product;ranking the plurality of attributes; and causing generation of a userinterface that includes at least one image, the at least one image beinga visual depiction of a top ranked attribute based on the ranking of theplurality of attributes.
 2. The system of claim 1, further comprisingdetecting descriptor words associated with the plurality of attributesin the extracted text content, wherein the plurality of attributes isranked based on the descriptor words.
 3. The system of claim 1, whereinthe generated user interface comprises a product image of the product,the visual depiction of the top ranked attribute being superimposed overthe product image.
 4. The system of claim 1, wherein the generated userinterface comprises a product description area for the product, thevisual depiction of the top ranked attribute being superimposed over theproduct description area.
 5. The system of claim 1, wherein thegenerated user interface comprises content associated with the product,the visual depiction of the top ranked attribute being generated to aside of the content, wherein the visual depiction of the top rankedattribute remains displayed as the content of the user interface isscrolled to different pages.
 6. The system of claim 1, furthercomprising: receiving a selection at the visual depiction of the topranked attribute; and based on the selection, generating a second userinterface comprising a product image associated with a differentproduct, the different product having the top ranked attribute.
 7. Thesystem of claim 1, wherein the electronic document is a webpageassociated with the product, and wherein the text content is extractedfrom a product review provided at the webpage associated with theproduct.
 8. The system of claim 1, wherein the generated user interfacecomprises a plurality of images that are visual depictions of top rankedattributes, each image associated with a selectable option, theselectable options configured to allow selection of more than one of thetop ranked attributes.
 9. A computerized method performed by one or moreprocessors, the method comprising: extracting text content from productreviews describing a product; identifying attributes of the product;ranking the identified attributes based on the extracted text content;and causing generation of a user interface that includes at least oneimage that is a visual depiction of a top ranked attribute determinedfrom the ranking.
 10. The method of claim 9, wherein the generated userinterface comprises a product image or a product description section forthe product, wherein the visual depiction of the top ranked attribute issuperimposed over the product image or the product description section.11. The method of claim 10, wherein the visual depiction of the topranked attribute is superimposed to be at least partially transparent tothe product image or the product description section.
 12. The method ofclaim 9, wherein the generated user interface includes a plurality ofimages that are visual depictions of top ranked attributes, the visualdepictions of the top ranked attributes having selectable optionsconfigured to allow selection of more than one of the top rankedattributes.
 13. The method of claim 12, further comprising: receiving aselection of a combination of top ranked attributes, the combinationselected from the selectable options of the visual depictions; andcausing generation of another graphical user interface that includes adifferent product, the different product having attributes matching theselected combination of top ranked attributes.
 14. The method of claim9, wherein the generated user interface comprises content associatedwith the product, the visual depiction of the top ranked attribute beinggenerated to a side of the content, wherein the visual depiction of thetop ranked attribute remains displayed as the content of the userinterface is scrolled to different pages.
 15. The method of claim 9,wherein the text content includes descriptor words proximate to theattributes, and wherein the attributes are ranked based on thedescriptor words.
 16. One or more non-transitory computer readable mediahaving instructions stored thereon that when executed by one or moreprocessors, cause the one or more processors to perform a methodcomprising: extracting text content from a webpage describing a product;ranking attributes of the product based on the extracted text content;and causing generation of a user interface that includes at least oneimage that is a visual depiction of a top ranked attribute determinedfrom the ranking.
 17. The media of claim 16, wherein the text contentincludes descriptor words proximate to the attributes, and wherein theattributes are ranked based on the descriptor words.
 18. The media ofclaim 16, wherein the generated user interface comprises a product imageor a product description section for the product, wherein the visualdepiction of the top ranked attribute is superimposed over the productimage or the product description section.
 19. The media of claim 18,wherein the visual depiction of the top ranked attribute is superimposedto be at least partially transparent to the product image or the productdescription section.
 20. The media of claim 16, wherein the generateduser interface includes a plurality of images that are visual depictionsof top ranked attributes, the visual depictions of the top rankedattributes having selectable options configured to allow selection ofmore than one of the top ranked attributes.